Nathan holds a Ph.D. in Nanotechnology and Materials Science from the City University of New York, and has worked on numerous software and scientific research projects over the last 10 years. Software projects have ranged from archival management system to mobile applications. Most recently, as a fellow at the NYC Data Science Academy, Nathan has worked on several machine learning projects involving R, Python and even Java. Nathan’s scientific research has covered the areas of nanomaterials, sensors, and even DNA probes while working at Columbia University. Moreover, Nathan is also co-founder of Instras Scientific LLC, which specializes in producing low-cost scientific instruments used at leading research institutions. Nathan is also an adjunct professor at the New York City College of Technology.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
